Crewship - Deploy AI agents in seconds

Crewship is a specialized hosting and orchestration platform designed for developers who need to move AI agents from local development into production environments without managing their own server infrastructure. The service bridges the gap between building complex workflows in frameworks like CrewAI or LangGraph and running them as reliable web services. Instead of manually configuring containers or cloud functions, users push their code through a command-line interface to a managed environment that handles execution, scaling, and secret management automatically. The platform is particularly useful for those building stateful applications, as it includes a dedicated Threads API for persistent chat and the ability to trigger agents via webhooks or fixed schedules. Beyond simple hosting, it provides the specific telemetry required for agentic workflows, such as real-time streaming of an agent's decision-making steps and automated collection of generated artifacts. By centralizing deployment history and run logs in a single console, it helps teams monitor and debug non-deterministic AI behavior without the overhead of building custom monitoring tools. This focus on the final stages of agent development makes it a practical choice for developers looking to integrate autonomous agents into existing software stacks.

Key Features

  • One-command CLI deployment - Managed hosting for CrewAI/LangGraph - Real-time agent status streaming - Automated run scheduling - Secure API secret management

Use Cases

Use Case 1: Agent Workflow Hosting

Problem: Developers build complex AI crews locally but struggle to host them as reliable, scalable web services.
Solution: Crewship provides a managed environment for CrewAI and LangGraph agents with one-command deploy.
Example: A dev pushes a multi-agent research crew to a production URL using the CLI.

Use Case 2: Scheduled AI Operations

Problem: Automating periodic AI tasks like weekly reporting requires managing cron jobs and servers.
Solution: The platform allows users to schedule agent runs on autopilot with built-in monitoring.
Example: A business schedules an agent to scrape industry news and send a Slack summary every Monday morning.

Target audience: Best for: AI developers, Startup founders, Backend engineers

Pricing: Paid · Categories: Chatbot Development, Developer Tools, Startup tools

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Tags: AI, ai agent, API, chatbot, developer tools

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